b'Jian Liang'

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning

Contrastive self-supervised learning (CSL) leverages unlabeled data to t...
02/12/2021 ∙ by Yifan Zhang, et al. ∙ 0 ∙ share

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Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

Unsupervised domain adaptation (UDA) aims to transfer knowledge from a r...
12/14/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation

Unsupervised domain adaptation challenges the problem of transferring kn...
12/13/2020 ∙ by Shuang Li, et al. ∙ 6 ∙ share

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A Lane-Changing Prediction Method Based on Temporal Convolution Network

Lane-changing is an important driving behavior and unreasonable lane cha...
11/01/2020 ∙ by Yue Zhang, et al. ∙ 0 ∙ share

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Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark

Recent studies show that crowd-sourced Natural Language Inference (NLI) ...
10/15/2020 ∙ by Guanhua Zhang, et al. ∙ 0 ∙ share

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Robust Finite Mixture Regression for Heterogeneous Targets

Finite Mixture Regression (FMR) refers to the mixture modeling scheme wh...
10/12/2020 ∙ by Jian Liang, et al. ∙ 7 ∙ share

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Domain Agnostic Learning for Unbiased Authentication

Authentication is the task of confirming the matching relationship betwe...
10/11/2020 ∙ by Jian Liang, et al. ∙ 6 ∙ share

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Hybrid Differentially Private Federated Learning on Vertically Partitioned Data

We present HDP-VFL, the first hybrid differentially private (DP) framewo...
09/06/2020 ∙ by Chang Wang, et al. ∙ 1 ∙ share

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Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning

Transfer learning has become a common practice for training deep learnin...
08/25/2020 ∙ by Yinghua Zhang, et al. ∙ 21 ∙ share

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Relation-Guided Representation Learning

Deep auto-encoders (DAEs) have achieved great success in learning data r...
07/11/2020 ∙ by Zhao Kang, et al. ∙ 5 ∙ share

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Combating Domain Shift with Self-Taught Labeling

We present a novel method to combat domain shift when adapting classific...
07/08/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Why is Attention Not So Attentive?

Attention-based methods have played an important role in model interpret...
06/10/2020 ∙ by Bing Bai, et al. ∙ 30 ∙ share

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Adversarial Infidelity Learning for Model Interpretation

Model interpretation is essential in data mining and knowledge discovery...
06/09/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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General-Purpose User Embeddings based on Mobile App Usage

In this paper, we report our recent practice at Tencent for user modelin...
05/27/2020 ∙ by Junqi Zhang, et al. ∙ 0 ∙ share

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PANDA: Prototypical Unsupervised Domain Adaptation

Previous adversarial domain alignment methods for unsupervised domain ad...
03/30/2020 ∙ by Dapeng Hu, et al. ∙ 0 ∙ share

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A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation

This work addresses the unsupervised domain adaptation problem, especial...
03/05/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

Unsupervised domain adaptation (UDA) aims to leverage the knowledge lear...
02/20/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Additive Adversarial Learning for Unbiased Authentication

Authentication is a task aiming to confirm the truth between data instan...
05/16/2019 ∙ by Jian Liang, et al. ∙ 6 ∙ share

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Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Natural Language Sentence Matching (NLSM) has gained substantial attenti...
05/15/2019 ∙ by Guanhua Zhang, et al. ∙ 6 ∙ share

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Model-Protected Multi-Task Learning

Multi-task learning (MTL) refers to the paradigm of learning multiple re...
09/18/2018 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach

Partial person re-identification (re-id) is a challenging problem, where...
01/03/2018 ∙ by Lingxiao He, et al. ∙ 0 ∙ share

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Robust Localized Multi-view Subspace Clustering

In multi-view clustering, different views may have different confidence ...
05/22/2017 ∙ by Yanbo Fan, et al. ∙ 0 ∙ share

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Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm

Object detection when provided image-level labels instead of instance-le...
02/28/2017 ∙ by Ziang Yan, et al. ∙ 0 ∙ share

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Self-Paced Learning: an Implicit Regularization Perspective

Self-paced learning (SPL) mimics the cognitive mechanism of humans and a...
06/01/2016 ∙ by Yanbo Fan, et al. ∙ 0 ∙ share

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Jian Liang

Featured Co-authors

Jiashi Feng

Shuicheng Yan

Yue Zhang

Hao Li

Fei Wang

Qiang Yang

Ran He

Mo Yu

Shiyu Chang

Zenglin Xu

Yangqiu Song

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning

Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation

A Lane-Changing Prediction Method Based on Temporal Convolution Network

Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark

Robust Finite Mixture Regression for Heterogeneous Targets

Domain Agnostic Learning for Unbiased Authentication

Hybrid Differentially Private Federated Learning on Vertically Partitioned Data

Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning

Relation-Guided Representation Learning

Combating Domain Shift with Self-Taught Labeling

Why is Attention Not So Attentive?

Adversarial Infidelity Learning for Model Interpretation

General-Purpose User Embeddings based on Mobile App Usage

PANDA: Prototypical Unsupervised Domain Adaptation

A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation

Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

Additive Adversarial Learning for Unbiased Authentication

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Model-Protected Multi-Task Learning

Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach

Robust Localized Multi-view Subspace Clustering

Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm

Self-Paced Learning: an Implicit Regularization Perspective